Data Analyst/R Programmer in Fisheries Science Computation

Location UK / Belfast

Job Type

Salary See description

Updated 3 days ago

Reference 1371874

 Job Description

Excellent opportunity for a Data Analyst/R Programmer in Fisheries Science Computation based in Belfast.

Data Analyst/R Programmer in Fisheries Science Computation

Ref: 18/106932

School of Biological Sciences

The School of Biological Sciences aims to enhance the way we use technology in research, food security, microbiology, ecosystem biology, sustainability and many other related areas.  The School prides itself on providing innovative teaching methods and a high-tech learning environment for our students. 

This temporary post is available until 31 October 2019.

We seek an experienced scientific computation / data analyst to help build modelling tools for fisheries management as part of a European-wide consortium project, funded by the European Commission. The project “Protecting by-caught species in mixed fisheries (PROBYFISH)” aims to asses and develop methods of protecting inadvertently captured species in European mixed fisheries, improving the Common Fisheries Policy of the EU.  Many of by-catch species are ‘data-poor’, have no formal stock-management and some are endangered. Our methods involve the use of management strategy evaluation (MSE) applied to case studies in different EU fisheries. Each case study is developing a mixed fishery management model (mainly using R-based tools: e.g. FLBEIA with FLR). The role of the post-holder is to support the fisheries scientists who are building these tools by deploying advanced programming and data analysis knowledge, writing code for, and advising, them. They will assist in implementing the MSE, including management of versions and code. This will involve working closely with model-building scientists in various EU countries as well as developing modelling code (in R and related scripting languages), including for high-performance computer implementation, based in Queen’s University Belfast (QUB), School of Biological Sciences.

Based at QUB, the post-holder will be part of a tight team of fisheries science modellers working on several projects concerning ‘Ecosystem Based Fisheries Management’, in the context of a vibrant research culture with associated marine laboratory facilities, a computational biology suite and a community of professional scientists and post-doctoral research students, also maintaining close links with the Marine Institute in Galway, Ireland and ICES. The post will likely involve some travel to Fisheries institutes in Denmark, Spain and Holland as well as Ireland.

The successful candidate will:

  • Hold a 2.1 (or above) University Honours Degree (or equivalent) in a subject with demonstrated significant programming and/or scientific computing components.
  • Have a minimum of 3 years’ experience in scientific programming and data analysis, including development of numerical computation algorithms, coding and all stages of software development including experience in programming R scripts to a professional technical standard (i.e. not just using R for statistics). 
  • In addition it is desirable that the candidate will have previous experience in modelling for fisheries science, especially using R-based tools such as FLR and FLBEIA or F-cube. Ideally they will have knowledge of methods of stock assessment and approaches for data-poor stock.

Further information about the School can be found at //www.qub.ac.uk/schools/SchoolofBiologicalSciences/

Anticipated interview date: Tuesday 18 December 2018

Salary scale: £33,199 to £36,261 per annum

To Apply please click the APPLY NOW button below to be forwarded to our website.

Closing date: Wednesday 5 December 2018